QA Engineer

Responsibilities:

• Execute test plans across UI, APIs, and EHR integration flows.
• Author and maintain clear, repeatable test cases with strong coverage.
• Run Smoke, Integration, System, and Regression suites on every release cycle.
• Partner with engineers to reproduce, isolate, and document issues with clear repro steps and contextual data.
• Translate product requirements into concrete test scenarios and acceptance criteria.
• Maintain validation documentation aligned with quality standards.
• Track features, defects, and software versions across releases with rigour.
• Contribute to QA process improvements that raise test reliability and coverage over time.
• End-to-End Product Testing: Own functional testing across the platform UI workflows clinicians use daily, backend APIs, and EHR integration touchpoints.
• Release Readiness: Run comprehensive Smoke, Integration, System, and Regression cycles to ensure every release meets the bar for production deployment.
• Test Coverage and Documentation: Author, maintain, and execute clear, repeatable test cases with comprehensive coverage across critical product flows.
• Cross-Functional Collaboration: Partner with engineering and product teams from requirement to release, catching issues early and preventing regressions.

Requirements:

• 2-4 years of hands-on QA experience on production software.
• Bachelor's degree in Computer Science or a related technical field.
• Strong understanding of SDLC and STLC, with proven discipline around test documentation.
• Hands-on experience executing Smoke, Integration, System, and Regression test cycles.
• Proficiency with ALM and collaboration tools: JIRA, Azure DevOps, Confluence, or equivalents.
• Comfort testing across UI, APIs, and integrated systems.
• Quality-obsessed: you treat quality as a product feature, not a checkbox.
• Strong written communication for test cases, bug reports, and validation documentation.

Good to Have:

• Experience in health-tech, EHR integrations, or HIPAA-regulated environments.
• Familiarity with healthcare data standards (HL7 FHIR, CCDA).
• Hands-on exposure to test automation frameworks (Selenium or similar).
• Experience working in Agile or iterative delivery environments.
• Strong ownership mindset: you own outcomes, not just test cases.
• Quality-obsessed: a missed edge case here isn't cosmetic; it affects real workflows.
• Comfortable with ambiguity in a fast-moving startup environment.
• Collaborative: you work with engineers to prevent bugs, not just find them.
• Sound judgment to prioritise risk and coverage when time is tight.
• Detail-oriented with the patience to validate complex, data-intensive workflows thoroughly.